Contributo do enoturismo para o desenvolvimento de regiões do interior: o caso da rota dos vinhos do alentejo

The wine industry and its relationship with the tourism sector, as well as with the motivations, characteristics, and behaviors wine tourists are relevant for the valuable creation. Some scholars have identified distinct wine tourism market segments based on a supply-side analysis of certain wine-producing tourism destinations. Subsequent studies used cluster analysis to prove that specific wine tourism market segments can be identified in the Alentejo Wine Route. The significant dimension and economical importance of wine tourism in the Alentejo region point towards the need for more dynamic planning and branding efforts. Such efforts will no doubt place the Alentejo Wine Region on par with some of the foremost wine-producing regions in the world.

Sustainable Tourism and Eradication of Poverty (Step): impact assessment of a tourism development program in Brazil

This paper aims to evaluate the social impacts of the Tourism Development Program (Prodetur) in the northeastern town of Porto Seguro, Bahia, Brazil. The method used is based on the difference in difference technique applied to the 1991 and 2000 Census microdata. The results suggest social advances following from poverty relief based on income - where the benefits are distributed, generally, in a relatively equal manner between the native and migrant population. There is a relative deterioration in the sanitary situation, which consists of a very serious problem in the mid- and long-term, whose costs are mostly borne by the native population. Therefore, maintaining the natural capital is the main aspect that distances Porto Seguro’s tourism supply from the concept of sustainability. The article also relies on difference in difference estimators to assess the impacts of local public policies related to the sector.

Tourism mobile and recommendation systems - a state of the art

Recommendation systems have been growing in number for the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages.

A hybrid recommendation approach for a tourism system

Many current e-commerce systems provide personalization when their content is shown to users. In this sense, recommender systems make personalized suggestions and provide information of items available in the system. Nowadays, there is a vast amount of methods, including data mining techniques that can be employed for personalization in recommender systems. However, these methods are still quite vulnerable to some limitations and shortcomings related to recommender environment. In order to deal with some of them, in this work we implement a recommendation methodology in a recommender system for tourism, where classification based on association is applied. Classification based on association methods, also named associative classification methods, consist of an alternative data mining technique, which combines concepts from classification and association in order to allow association rules to be employed in a prediction context. The proposed methodology was evaluated in some case studies, where we could verify that it is able to shorten limitations presented in recommender systems and to enhance recommendation quality.

Recommendation & mobile systems - a state of the art for tourism

Recommendation systems have been growing in number over the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. These approaches contain strengths and weaknesses that need to be evaluated according to the knowledge area in which the system is going to be implemented. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages.

Recommendation and planning through mobile devices in tourism context

In this paper we present a mobile recommendation and planning system, named PSiS Mobile. It is designed to provide effective support during a tourist visit through context-aware information and recommendations about points of interest, exploiting tourist preferences and context. Designing a tool like this brings several challenges that must be addressed. We discuss how these challenges have been overcame, present the overall system architecture, since this mobile application extends the PSiS project website, and the mobile application architecture.

Sustainable Tourism and Agriculture Multifunctionality by PAR: A Variable Selection Approach

Copyright © 2013 Springer Netherlands.

User modeling and recommendation strategies for tourism

Mestrado em Engenharia Informática

Predators and tourism increase intolerance? Comment on A. Treves and J. Bruskotter Perspective in Ecology "Tolerance for predatory wildlife" (2 May, 344: 476)

Predators and Tourism Increase Intolerance? A. Treves and J. Bruskotter Perspective in Ecology "Tolerance for Predatory Wildlife" (2 May, 344: 476) suggest that intolerance for predators do not fit into the conventional view of perceived threats for livelihoods but instead by complex social factors. Although the above perspective focuses in jaguars, wolves, lions and bears, the same reasoning is perfectly applied to other economical contexts and different human-wildlife interactions. Nature tourism is a growing industry attracting a significant number of people to exotic places to see wildlife and, of course, many predators are on the main "menu". [...].

Optimal strategies for marine wildlife tourism in small islands

Tese de Doutoramento, Ciências Económicas e Empresariais (especialidade de Economia), 18 de Junho de 2015, Universidade dos Açores

Logistic optimization in tourism networks

55th European Regional Science Association Congress, Lisbon, Portugal (25-28 August 2015).

O impacto do branding corporativo na reputação das organizações: o caso Renova

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Publicidade e Marketing.

ZoomAzores project: implementation of a WebGIS for Nature and Adventure Tourism.

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Importância dos stakeholders locais no processo de branding turístico

O objetivo deste trabalho é avaliar a importância dos stakeholders, particularmente, o caso dos comerciantes locais, que correspondem à recente reformulação da “marca” Porto, enquanto cidade, que resultou na nova imagem “Porto.”, implementada em Setembro de 2014. Visto ser um tema recente, recorreu-se à revisão de literatura para verificar se existe ou não importância na integração desta população, através de um processo de branding conjunto, em parceria com quem na prática empreende a marca. Seguiu-se uma análise mais objetiva, onde se selecionou uma amostra por conveniência, sobre o critério de acessibilidade e ainda realizando um convite para entrevista, junto da organização responsável pelo desenvolvimento da marca, que impremeditávelmente foi declinado. Contudo, prosseguiu-se com o apropositado ingrediente da matéria em pesquisa, que talvez possa responder à desconformidade da organização em prestar esclarecimento. Deste modo, do elemento a ser investigado identificam-se quarenta e um negócios, de diferentes segmentos de mercado (alojamentos turísticos, restauração, garrafeiras e lojas de artesanato local), com uma média de cinco funcionários cada e localizadas na zona histórica da cidade do Porto. Em colaboração com os mesmos, foi produzido um questionário pessoal com os proprietários de cada organização investigada. Daqui resultou o nível de familiaridade, motivações e desejos, assim como nível de envolvimento, aproveitamento e aplicação destes stakeholders, imprenscindíveis à marca. Descobrindo-se que independentemente da consciência sobre a existência de uma marca e de um bom nível de reconhecimento, após o seu lançamento, isto não se correlaciona com o comprometimento disponibilizado por parte de quem a gere, nomeadamente comunicação direcionada para os stakeholders locais. Verificando-se uma incongruência quanto ao empreendimento do conceito de branding colaborativo, identificado na literatura e ao qual se atribuí uma aplicabilidade proveitosa.

Recommendation of Tourism Resources Supported by Crowdsourcing

Context-aware recommendation of personalised tourism resources is possible because of personal mobile devices and powerful data filtering algorithms. The devices contribute with computing capabilities, on board sensors, ubiquitous Internet access and continuous user monitoring, whereas the filtering algorithms provide the ability to match the profile (interests and the context) of the tourist against a large knowledge bases of tourism resources. While, in terms of technology, personal mobile devices can gather user-related information, including the user context and access multiple data sources, the creation and maintenance of an updated knowledge base of tourism-related resources requires a collaborative approach due to the heterogeneity, volume and dynamic nature of the resources. The current PhD thesis aims to contribute to the solution of this problem by adopting a Crowdsourcing approach for the collaborative maintenance of the knowledge base of resources, Trust and Reputation for the validation of uploaded resources as well as publishers, Big Data for user profiling and context-aware filtering algorithms for the personalised recommendation of tourism resources.